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Data Platform & ML Engineer | Founder – Atolla Ocean | Ex-Amazon | 10+ yrs building data systems
I’m a Data Platform & ML Engineer with 10+ years of experience turning messy data problems into clear architecture, reliable pipelines, and simple user-facing outcomes. My background spans data engineering, ML engineering, and analytics engineering, grounded in a statistics degree and years of working closely with data scientists. I don’t pursue BI roles anymore, but I do bring a habit of thinking in experiments, tradeoffs, and real-world impact. Right now I’m building Atolla Ocean — an early-stage product that uses AI to help divers understand the marine life they encounter underwater. Alongside the technical work, I’m shaping the product story, validation plan, and early user experience as part of the Founder Institute 2025 cohort. Outside of that, I host refugees, help people with disabilities experience the outdoors, and volunteer as a mini-program developer for a donation platform. Those experiences keep me grounded in the idea that technology should feel like a door opening, not a barrier. I’d love to connect around data systems, ML workflows, ocean tech, or mission-driven products.
Columbia University
Master of Arts (M.A.), Statistics
January 1, 2013 – January 1, 2014
Xiamen University
Bachelor's degree, Statistics
January 1, 2009 – January 1, 2013
Atolla Ocean
Founder — Atolla Ocean
November 1, 2025 – Present
Seoul & Seattle
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Cultural Fit Analysis
The candidate's recent role as a Founder aligns well with a target role of 'Founder', demonstrating strong initiative and a desire to build. Their diverse experience from data analysis to senior data engineering and tech leadership, coupled with an interest in AI/ML and marine life, suggests adaptability and a broad intellectual curiosity. However, the lack of specific project details outside of work experience makes it difficult to fully assess cultural fit beyond professional roles.
Soft Skills & Operational Fit
The candidate's experience as a Founder and Tech Lead suggests strong leadership, problem-solving, and strategic thinking. Their work at Amazon involved driving privacy/security reviews, hiring, onboarding, and cost hygiene, indicating operational awareness and responsibility. The description of Atolla Ocean highlights curiosity and a user-centric approach through user interviews and validation.